MSc Consumer Analytics and Marketing Strategy 2017


Leeds University Business School

Start Date:

End Date:

Program Duration:

12 Months

Application Deadline:

Expired help

Type

Master's programs

Language of Instruction

English

Study Options

Full Time

Fees

Regular fees: 10500 GBP

International Fees : 20000 GBP

Location

Maurice Keyworth Building, University of Leeds, Moorland Rd, Leeds LS6 1AN

Leeds

United Kingdom

Start Date:

End Date:

Location

United Kingdom

Leeds

Type

Master's programs

Application Deadline:

Expired help


The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. This innovative masters degree will give you the practical skills to analyse consumer data and provide insights for successful marketing strategies.

Taught by leading academics from Leeds University Business School and School of Geography, you’ll explore a range of analytical techniques including applied Geographic Information Systems (GIS) and retail modelling, consumer and predictive analytics and data visualisation. You’ll also develop the softer skills to use the results of these analyses to inform decisions about marketing strategy.

Thanks to our connections with businesses worldwide, you’ll have access to emerging trends in topics such as consumer behaviour, decision science and digital and interactive marketing. You’ll further develop your practical skills with the opportunity to work on a live data project provided by a company.

Academic excellence

This courseoffers you a rare combination of teaching expertise; the Business School’s academic excellence in Marketing alongside world-class teaching from the School of Geography, which draws on the knowledge of the Centre for Spatial Analysis and Policy.

The University of Leeds is a major centre for big data analytics and you’ll benefit from affiliation with the UK’s Consumer Data Research Centre. The centre aims to make data that are routinely collected by businesses and organisations accessible for academic purposes. Coordinating and analysing this large and complex data has the potential to increase productivity and innovation in business, as well as to inform public policy and drive development.

Read an interview with the academic team to learn more about our expertise and the growing importance of this emerging subject area.